Unsupervised Classification Similarity Measures, Classical and Metaheuristic Approaches, and Applications /

• Κύριοι συγγραφείς: Bandyopadhyay, Sanghamitra (Συγγραφέας), Saha, Sriparna (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Θέματα: Computer science.; Computers.; Artificial intelligence.; Bioinformatics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computational Biology/Bioinformatics.; Information Systems and Communication Service.

Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature. This is the...